Teaching Research Methods and Statistics in eLearning Environments: Pedagogy, Practical Examples, and Possible Futures

Author(s)
Rock, Adam J
Coventry, William L
Morgan, Methuen
Loi, Natasha M
Publication Date
2016
Abstract
Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal et al., 1997). Given the ubiquitous and distributed nature of eLearning systems (Nof et al., 2015), teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to discuss critically how using eLearning systems might engage psychology students in research methods and statistics. First, we critically appraise definitions of eLearning. Second, we examine numerous important pedagogical principles associated with effectively teaching research methods and statistics using eLearning systems. Subsequently, we provide practical examples of our own eLearning-based class activities designed to engage psychology students to learn statistical concepts such as Factor Analysis and Discriminant Function Analysis. Finally, we discuss general trends in eLearning and possible futures that are pertinent to teachers of research methods and statistics in psychology.
Citation
Frontiers in Psychology, v.7, p. 1-11
ISBN
9782889450107
ISSN
1664-1078
Link
Language
en
Publisher
Frontiers Research Foundation
Series
Frontiers Research Topics
Title
Teaching Research Methods and Statistics in eLearning Environments: Pedagogy, Practical Examples, and Possible Futures
Type of document
Journal Article
Entity Type
Publication

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